An Incremental Model of Lexicon Consensus in a Population of Agents by Means of Grammatical Evolution, Reinforcement Learning and Semantic Rules

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Mingo:2011:IWINAC,
  author =       "Jack Mario Mingo and Ricardo Aler",
  title =        "An Incremental Model of Lexicon Consensus in a
                 Population of Agents by Means of Grammatical Evolution,
                 Reinforcement Learning and Semantic Rules",
  year =         "2011",
  booktitle =    "4th International Work-Conference on the Interplay
                 Between Natural and Artificial Computation, IWINAC
                 2011, Part I",
  editor =       "Jose Ferrandez and Jose Alvarez Sanchez and 
                 Felix de la Paz and F. Toledo",
  volume =       "6686",
  series =       "Lecture Notes in Computer Science",
  pages =        "40--49",
  address =      "La Palma, Canary Islands, Spain",
  month =        may # " 30 - " # jun # " 3",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, Swarm Intelligence, Language Acquisition and
                 Language Development",
  DOI =          "doi:10.1007/978-3-642-21344-1_5",
  size =         "10 pages",
  abstract =     "We present an incremental model of lexicon consensus
                 in a population of simulated agents. The emergent
                 lexicon is evolved with a hybrid algorithm which is
                 based on grammatical evolution with semantic rules and
                 reinforcement learning. The incremental model allows to
                 add subsequently new agents and objects to the
                 environment when a consensual language has emerged for
                 a steady set of agents and objects. The main goal in
                 the proposed system is to test whether the emergent
                 lexicon can be maintained during the execution when new
                 agents and object are added. The proposed system is
                 completely based on grammars and the results achieved
                 in the experiments show how building a language
                 starting from a grammar can be a promising method in
                 order to develop artificial languages.",
  affiliation =  "Computer Science Department, Autonomous University of
                 Madrid, Spain",
}

Genetic Programming entries for Jack Mario Mingo Ricardo Aler Mur

Citations